Python is a cross-platform, highly flexible open-source programming language. With its powerful functionality and ease of learning, it has become an essential tool for data processing across various industries. Widely applied in fields like artificial intelligence and big data mining, Python has emerged as a rising star in the IT industry. As GIS represents a branch of data science, Python finds extensive applications in GIS domains including data processing, spatial analysis, machine learning, and spatial data visualization, enabling efficient handling of geospatial tasks.

SuperMap iDesktopX comes with a built-in Python runtime environment that integrates Python 3.8 libraries. Users can write or add Python scripts in the Java desktop's Python window to execute related functionalities.

The multi-platform versions of SuperMap iDesktopX (Windows and Linux x86 editions) support Python for data interaction, enabling access to current workspace elements like data sources, datasets, and maps. Users can perform operations including data processing, spatial analysis, and mapping on datasets. It also allows custom tool development using Python for repeated usage.

The Python environment in SuperMap iDesktopX integrates SuperMap iObjects Python capabilities. Users can access both standard Python dependency packages and SuperMap iObjects Python interfaces for functions like data management, data processing, spatial analysis, and machine learning. For detailed feature descriptions of SuperMap iObjects Python interfaces, please refer to the Python component documentation.

Additionally, users can directly execute Python scripts in the Python window or develop custom tools in the toolbox to implement business-specific functionalities.

Advantages of using Python in SuperMap iDesktopX include:

• Supports MiniConda for managing multiple Python environments, facilitating seamless version switching;
• Integrates comprehensive functionalities from SuperMap iObjects Python (Python components) including data processing, data analysis, data visualization, and machine learning, allowing direct interface calls;
• Rich community-driven open-source frameworks and dependency libraries for extended functionality implementation;
• Enhances understanding of geospatial data processing principles through practical learning;
• High-efficiency data processing capabilities suitable for large-volume datasets;
• High script reusability and support for custom Python tool development.

Python in SuperMap iDesktopX provides the following features:

• Python Package Management: Integrates open-source Conda package manager for Python environment and dependency management;
• Python Window: Offers intelligent code completion with interface method/parameter hints and embedded API documentation for syntax reference;
• Python Tools: Enables custom tool development using Python, which can operate independently or integrate with GPA workflows.